Antuono Latronico
- Health Informatics top 5%
- Cancer Research top 10%
- Breast Cancer Treatment Studies 15
- Otorhinolaryngology top 5%
- Pathology and Forensic Medicine top 10%
- Breast Lesions and Carcinomas 18
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- Radiomics and Machine Learning in Medical Imaging 6
- MRI in cancer diagnosis 4
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- AI in cancer detection 11
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- Digital Radiography and Breast Imaging 8
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- Global Cancer Incidence and Screening 6
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- Estrogen and related hormone effects 4
- Co-authors
- Enrico CassanoAnna Carla BozziniLuca NicosiaMassimo BellomiFilippo PesapaneSilvia PencoFrancesca AbbateMadson Q. Almeida
- Journals
- British Journal of Radiology (4 papers)Journal of Clinical Oncology (4 papers)Cancers (3 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Antuono Latronico
38 papers receiving 563 citations
Peers
Comparison fields: 5 of 58
- Health Informatics 47
- Cancer Research 231
- Otorhinolaryngology 67
- Pathology and Forensic Medicine 193
- Radiology, Nuclear Medicine and Imaging 219
Countries citing papers authored by Antuono Latronico
This map shows the geographic impact of Antuono Latronico's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Antuono Latronico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antuono Latronico more than expected).
Fields of papers citing papers by Antuono Latronico
This network shows the impact of papers produced by Antuono Latronico. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Antuono Latronico. The network helps show where Antuono Latronico may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Antuono Latronico, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 10 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 11 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 18 | |
| 8 | 2023 | 40 | |
| 9 | 2023 | 36 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 3 | |
| 14 | 2020 | 14 | |
| 15 | 2020 | 4 | |
| 16 | 2018 | 7 | |
| 17 | 2017 | 23 | |
| 18 | 2007 | 23 | |
| 19 | 2007 | 61 | |
| 20 | 2006 | 72 |
About Antuono Latronico
Antuono Latronico is a scholar working on Health Informatics, Cancer Research and Pathology and Forensic Medicine, having authored 42 papers that have together received 577 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (18 papers), Breast Cancer Treatment Studies (15 papers), AI in cancer detection (11 papers), Digital Radiography and Breast Imaging (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Global Cancer Incidence and Screening (6 papers), MRI in cancer diagnosis (4 papers) and Estrogen and related hormone effects (4 papers). The work is most often cited by research in Health Informatics (47 citations), Cancer Research (231 citations) and Otorhinolaryngology (67 citations). Antuono Latronico has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Enrico Cassano, Anna Carla Bozzini, Luca Nicosia, Massimo Bellomi, Filippo Pesapane, Silvia Penco, Francesca Abbate, Madson Q. Almeida, Lorenza Meneghetti and Giuseppe Renne. Their work appears in journals such as British Journal of Radiology, Journal of Clinical Oncology, Cancers, The Breast and Academic Radiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.